Application of Orthonormalized M-Sequences for Data Reduced and Error Protected Transmission of Pictures

A New Method for Embedding Secret Data to the Container Image Using ‘Chaotic’ Discrete Orthogonal Transforms

“…As during the image acquisition process, many different independent sources of Gaussian noise with varying amplitudes are superimposed onto the image, this is hard to determine whether the additional Gaussian noise is due to the channel/sensor properties or steganography [5]. One-dimensional transforms (1) that provide required distribution of the signal energy were introduced in [6]. The basis functions of these transforms have only two different values.…”

“…In the papers [7]- [9] application of these transforms to processing the video information was considered. Various generalizations for the scheme described in [6] were proposed by one of the authors in the papers [10]- [11] for the functions ( ) m h n with k different values. The essence of constructing the set of the considered orthogonal transform basis function is in use of the linear recurrence…”